Search Results (31)

Background: Intensive agriculture in fragile, dry–hot valleys degrades coffee plantation soils. Combining leguminous cover crops with microbial inoculants is promising, yet their synergy remains unresolved. Methods: In a field trial, we established Medicago sativa L. (ZB1) and Vicia villosa Roth var. glabrescens (ZB2) cover crops following Bacillus cereus inoculation, then assessed soil chemistry, nitrate–nitrogen (NO₃⁻-N), key enzyme activities (catalase, CAT; sucrase, IA; urease, UA), and bacterial communities; redundancy analysis linked edaphic variables to community structure. Results: Co-application remodeled the soil microenvironment. ZB1 moderated pH from 7.92 (weakly alkaline) to 7.46 (near neutral) and increased total nitrogen (TN) and potassium (K). NO₃⁻-N rose 1.38-fold (ZB1) and 2.14-fold (ZB2), indicating improved N retention and reduced leaching risk. CAT, IA, and UA activities increased concurrently. The bacterial community shifted from Acidobacteria toward Bacteroidetes and was enriched in taxa including Flavobacterium. Redundancy analysis identified total nitrogen as the primary environmental driver of community change. Conclusions: Leguminous cover crops combined with B. cereus synergistically improved soil conditions and reorganized bacterial communities in dry–hot valley coffee systems, providing field-scale evidence and practical guidance for sustainable agroecosystem management. Full article

Coffee plantations are highly vulnerable to climatic factors. In this regard, the vulnerability of coffee agroecosystems to extreme hydrometeorological events has been underexplored. This research proposes a method to assess coffee plantations’ vulnerability to five phenomena that have led to disaster declarations in the municipalities where they are cultivated: extreme rainfall, tropical cyclones, floods, snow and low temperatures, and drought. This study considered coffee production, local climate information, hydrometeorological records, and environmental protection actions, spanning 22 years in the eastern state of Veracruz, Mexico. All data were normalized and evaluated for three production values: harvested area ratio, yield, and volume. The Exposition accounted for the number of events, correlating production data with phenomena to assess sensitivity, while the adaptive capacity was assessed by considering environmental protection actions. The results indicated that the most frequent phenomena were extreme rainfall, followed by tropical cyclones, snow and low temperatures, droughts, and floods. However, tropical cyclones accounted for the highest number of vulnerabilities, and drought caused the highest level of vulnerabilities. Snow and cold temperatures reduced vulnerabilities, and floods have non-statistical effects. In general, coffee agroecosystems have a low vulnerability index (6.21 on a scale of 15) due to their location within the local forest. Full article

Canavalia ensiformis (L.) DC. (Fabaceae) is used in Cuba in soils dedicated to coffee cultivation, contributing to soil nutrition and crop productivity. However, no rhizobial isolates are currently available for inoculating this legume in Chromic Eutric Cambisol soils. The aim of this study was to select rhizobial strains that promote the growth of C. ensiformis in Chromic Eutric Cambisol soils. Nodules were collected from C. ensiformis plants, surface-sterilized, and macerated to isolate potential rhizobia. The isolates were characterized based on cultural, morphological, and biochemical traits, and their symbiotic effectiveness was evaluated through in vitro inoculation assays in Macroptilium atropurpureum (siratro) plants. Inoculation trials were conducted under semi-controlled conditions and in the field between coffee rows. The number and dry weight of effective nodules, number of trifoliate leaves, and shoot dry biomass were measured. Nine bacterial isolates were obtained, grouped into four morphotypes, and assigned as possible members of the families Phyllobacteriaceae, Methylobacteriaceae, or Nitrobacteraceae. Under semi-controlled conditions, inoculation with three isolates increased the number of nodules (by 56–80%), the number of trifoliate leaves (by 20–45%), and shoot biomass (by 10–40%) compared to the non-inoculated treatment. Additionally, one of the isolates increased nodule dry weight by 27%. In the field between coffee row, increases were also observed in the number of trifoliate leaves (by 18–26%) and shoot biomass (by 15–24%). This study supports the selection of efficient rhizobia adapted to the edaphoclimatic conditions of Cuban coffee agroecosystems. Full article

Bidens pilosa L. is a cosmopolitan and invasive weed that strongly impacts agricultural systems in tropical regions. In Veracruz, Mexico, its presence extends mainly across mid-elevation zones where coffee, maize, and sugarcane are cultivated. This study characterized the bioclimatic and edaphic determinants of B. pilosa distribution using 581 georeferenced occurrences combined with 19 bioclimatic variables, elevation, and soil data. A Maxent model revealed the highest habitat suitability (0.65–1.0) in the central mountainous region between 800 and 1500 m.a.s.l., particularly under temperate–humid climates (Cfa, Cfb) and Acrisol–Leptosol soils. Principal component and redundancy analyses showed that annual precipitation (BIO12), precipitation of the driest month (BIO14), and temperature seasonality (BIO4) explained 74.7% of the total environmental variance. Cluster analysis identified four distinct ecological groups, confirming broad ecological plasticity. These findings indicate that B. pilosa is not randomly distributed but structured along climatic and soil gradients, with precipitation and elevation as major determinants of its ecological niche. Understanding these relationships provides a quantitative framework for predicting its expansion under future climate scenarios and for designing targeted management strategies in tropical agroecosystems. Full article

Trichoderma species are globally distributed fungi with remarkable biotechnological relevance. In this study, we describe two new species, T. jilotepecense and T. sanisidroense, and report T. endophyticum as the first record for Mexico. All isolates were obtained from soils of coffee agroecosystems in Veracruz. Species identification was based on the integration of cultural and micromorphological characteristics (PDA, SNA, CMD; 25–35 °C) with multilocus phylogenetic analyses using the ITS, tef1, and rpb2 markers. The concatenated dataset provided strong support for species delimitation and clarified phylogenetic relationships within the Harzianum and Virens clades. Full article

In Latin America, coffee is cultivated in distinct coffee agroecosystems (CASs), ranging from traditional agroforestry (“shade”) systems (CAFSs) to intensive, unshaded (“sun”) monocultures (UCASs). While various socioenvironmental impacts of these systems have been studied, their implications have not yet been integrated within a planetary health perspective. This review of 146 studies applies the Planetary Boundaries and Nature’s Contributions to People frameworks and the DPSEEA (Drivers, Pressures, State, Exposure, Effects, Actions) model to map the relationships between socioenvironmental drivers of change, different CASs, the state of natural systems at local and global scales, and human health and well-being. The analysis shows that conventional intensification, driven by low revenues for producers, climate change, and disease outbreaks, has accelerated deforestation, biodiversity loss, greenhouse gas emissions, agrochemical use and leakage, and water pressures. These changes create health risks for coffee-growing communities, such as pesticide exposure and increased vulnerability to external shocks. Conversely, agroecological practices can mitigate environmental pressures while reducing exposure to health hazards and improving resilience, food security, and income stability. However, mainstreaming these practices requires addressing structural inequities in the global coffee value chain to ensure fairer revenue distribution, stronger institutional support, and the protection of coffee-growing communities. Full article

Plant growth-promoting bacteria (PGPB) associated with Coffea arabica L. and Coffea canephora Pierre ex Froehner offer a viable strategy to reduce synthetic inputs and enhance resilience in coffee agroecosystems. This review synthesizes evidence from the past decade on rhizosphere-associated and endophytic taxa, their plant growth-promotion and biocontrol mechanisms and the resulting agronomic outcomes. A compartment-specific core microbiome is reported, in the rhizosphere of both hosts, in which Bacillus and Pseudomonas consistently dominate. Within endophytic communities, Bacillus predominates across tissues (roots, leaves and seeds), whereas accompanying genera are host- and tissue-specific. In C. arabica, endophytes frequently include Pseudomonas in roots and leaves. In C. canephora, root endophytes recurrently include Burkholderia, Kitasatospora and Rahnella, while seed endophytes are enriched for Curtobacterium. Functionally, coffee-associated PGPB solubilize phosphate; fix atmospheric nitrogen via biological nitrogen fixation; produce auxins; synthesize siderophores; and express 1-aminocyclopropane-1-carboxylate deaminase. Indirect benefits include the production of antifungal and nematicidal metabolites, secretion of hydrolytic enzymes and elicitation of induced systemic resistance. Under greenhouse conditions, inoculation with PGPB commonly improves germination, shoot and root biomass, nutrient uptake and tolerance to drought or nutrient limitation. Notable biocontrol activity against fungal phytopathogens and plant-parasitic nematodes has also been documented. Key priorities for translation to practice should include (i) multi-site, multi-season field trials to quantify performance, persistence and economic returns; (ii) strain-resolved omics to link taxa to functions expressed within the plant host; (iii) improved bioformulations compatible with farm management and (iv) rationally designed consortia aligned with production goals and biosafety frameworks. Full article

Birds have played a crucial role as environmental monitors throughout history, ranging from the use of canaries to detect methane and carbon monoxide in mines to the decline of raptors and seabirds during the DDT era due to widespread organochlorine pesticide contamination. Owing to their high diversity and capacity for bioaccumulation, birds are widely recognized as effective indicators of environmental change and pollutant exposure. Cytogenetic techniques have been increasingly applied over the past two decades to assess micronuclei formation resulting from interactions with clastogenic and aneugenic chemical compounds. The main goals of this study were (a) to evaluate a subset of the bird community in the southeastern Brazilian Cerrado as potential environmental indicators of pesticide exposure using the erythrocyte micronucleus test and (b) to investigate possible associations between bird morphometric traits and micronuclei frequency. Birds were sampled from three groups of coffee farms in the Brazilian Cerrado. Blood samples were collected from 152 individuals (122 on farms and 30 at the reference site) via the metatarsal vein, followed by slide preparation for micronucleus analysis. Two slides were prepared per bird; each slide was scored for 10,000 erythrocytes, and MN frequency was reported as the mean across slides. The species Leptotila rufaxilla, Volatinia jacarina, Galbula ruficauda, Gnorimopsar chopi, Molothrus bonariensis, Passer domesticus, Turdus leucomelas, and Turdus rufiventris exhibited six or more micronuclei per 10,000 erythrocytes, indicating the highest potential as bioindicators of environmental contamination. Micronuclei frequency in erythrocytes was positively correlated with the use of mixed pesticides, with variation depending on the size of the coffee farms. Although a slight negative biological trend was observed between micronuclei frequency and certain morphometric traits, particularly bill length, no statistically significant correlations were found. Similarly, birds from large farms exhibited a slight reduction in certain morphometric features, though these differences were also not statistically significant. These results highlight the utility of selected bird species as early-warning bioindicators for pesticide exposure in tropical agroecosystems. Full article

Climate change is affecting farmers’ livelihoods and their ability to adapt. Therefore, solutions for adaptation and resilience are required. The objective of the work was to assess how nature-based solutions contribute to improving the adaptive capacity of farmers, taking coffee production in Mexico as a case study. It followed the theoretical approach of the Sustainable Livelihoods Framework, which involves identifying the capacities, resources, and activities that a population possesses, considering the following six dimensions: natural, social, human, economic, physical, and political. A rapid systematic review was carried out to identify measurement indicators for each dimension. A semi-structured survey was constructed to collect information on the indicators in the field. The surveys were administered to a sample of 60 randomly selected farmers who utilized various management types incorporating nature-based solutions, including diversified polyculture, simple polyculture, and simplified shade. In addition, farmers who do not use nature-based solutions and who grow coffee in full sun were considered. An index of adaptive capacity was then calculated for each coffee agroecosystem assessed, and finally, actions were proposed to strengthen the livelihood dimensions and increase the adaptive capacity of farmers. It was found that farmers using the management types diverse polyculture and simple polyculture had an average value of the adaptive capacity index classified as high (15.06 and 11.61, respectively). Farmers using the simplified shade management type had an average index value classified as medium (8.59). Whereas, farmers producing coffee in full sun were classified with low adaptive capacity in the average index value (−0.49). The results obtained in this research can contribute to informed government decision making (local, state, or federal) in generating policies to improve or design nature-based solutions in the agricultural sector, thereby increasing the adaptive capacity of producers in the face of climate variability. Full article

Organic agriculture is widely regarded as an important approach to reducing biodiversity loss and promoting sustainable agricultural development compared to conventional agriculture. Notably, organic farming practices have substantially boosted the diversity of soil microbial communities. However, empirical studies on the functional structure of soil microbial communities in organic agroecosystems and the mechanisms influencing them remain relatively scarce. Using high-throughput sequencing technology, we analyzed soil microbial communities associated with organic (orange lands) and conventional (coffee and maize lands) farming practices in the Gaoligong Mountains (GLGM) region, with the aim of revealing differences in soil properties, microbial community structure, and functional composition across different agricultural management practices. The results revealed that organic farming boosted soil organic carbon and fertility, driving changes in the microbial community composition. Organic farming notably increased the abundance of bacterial functional groups involved in the carbon and nitrogen cycles but decreased the abundance of symbiotic fungi. Furthermore, no significant differences were observed in the abundance of saprotrophic and pathogenic fungi between the organic and conventional farming systems. The present study demonstrates that organic farming enhances the functional roles of oil microorganisms in nutrient cycling and overall ecosystem processes by enhancing soil’s organic carbon content and soil fertility, thereby modifying the soil’s microbial community structure and functions. Overall, organic farming contributes to improvements in soil health and supports the sustainable development of agriculture in the GLGM region. Full article

The agroforestry and intercropping systems are recognized as important options for greenhouse gas mitigation. The primary objective of this study was to assess the impacts of land use change from Orange (O) monoculture to Coffee-Orange (CO) intercropping and Coffee-Forest (CF) agroforest systems, implemented 20 years ago, on soil properties at three different soil depth layers (0–10 cm, 10–20 cm, 20–30 cm), with a particular focus on microbial biomass carbon (MBC) and soil organic carbon (SOC) levels. Although there were no changes in most of the soil’s physical properties, the soil’s chemical properties varied significantly across different land use types. SOC was higher in CF and CO systems compared to the O system; however, only in the CO system was the SOC incorporated evenly across all depths. Regression analysis showed that, in the CO system, microbial biomass carbon increased significantly, suggesting that these systems are more promising for carbon sequestration. The low pH and phosphorus values in the agroforest system were identified as limiting factors for microbial biomass enhancement. Importantly, the integration of coffee into orange cultivation not only enhances economic benefits but also contributes to long-term carbon sequestration by increasing SOC in deeper soil layers. Full article

Highly diverse agroecosystems are increasingly of interest as the realization of farms’ invaluable ecosystem services grows. Simultaneously, there has been an increased use of uncrewed aerial systems (UASs) in remote sensing, as drones offer a finer spatial resolution and faster revisit rate than traditional satellites. With the combined utility of UASs and the attention on agroecosystems, there is an opportunity to assess UAS practicality in highly biodiverse settings. In this study, we utilized UASs to collect fine-resolution 10-band multispectral imagery of coffee agroecosystems in Puerto Rico. We created land cover maps through a pixel-based supervised classification of each farm and assembled accuracy assessments for each classification. The average overall accuracy (53.9%), though relatively low, was expected for such a diverse landscape with fine-resolution data. To bolster our understanding of the classifications, we interviewed farmers to understand their thoughts on how these maps may be best used to support their land management. After sharing imagery and land cover classifications with farmers, we found that while the prints were often a point of pride or curiosity for farmers, integrating the maps into farm management was perceived as impractical. These findings highlight that while researchers and government agencies can increasingly apply remote sensing to estimate land cover classes and ecosystem services in diverse agroecosystems, further work is needed to make these products relevant to diversified smallholder farmers. Full article

In this case study, the current situation faced by coffee growers attempting to control coffee leaf rust (Hemileia vastatrix) in Hawaii is reported. CLR is considered the most devastating disease affecting coffee crops worldwide and was detected in Hawaii in 2020. Three small coffee farms from the South Kona district of Hawaii Island were selected. The goals of this case study were to: (1) assist coffee growers in the early detection of CLR incidence, and consequently support farmers with recommendations for control, (2) record agronomic information and management practices, and (3) estimate the cost to control CLR during 2021 and 2022 seasons. Low CLR incidence (<4%) was initially observed at all farms (January–June 2021), but increased as the harvest began, ending the season (December 2021) at 77%, 21% and 6% incidence at farms 1, 2 and 3, respectively. At the end of 2022 season (December), CLR incidence reached 43%, 20% and 3% at farms 1, 2 and 3, respectively. The number of sprays per season (5–10), the type of fungicides applied (preventive, curative), the timing of sprays, the efficacy of applications and weather conditions all played a role in determining the infection rates at each farm. Effective control of CLR is possible in Hawaii if the sprays of fungicides are carried out with the right products, appropriate timing and good coverage. Full article

Trichoderma is a genus of cosmopolitan fungi with more than 375 species described today. Despite its global significance in agriculture, ecosystems, and industry, few studies have focused on studying the diversity and distribution of this genus in Mexico. In this systematic review and meta-analysis, we aimed to understand the diversity and distribution of Trichoderma species in Mexico, both in ecosystems and agroecosystems. For this systematic review, we used the PRISMA methodology. We reviewed forty-one scientific articles, two book chapters, and the GBIF database. We recorded a total of 1082 isolates, revealing the presence of 57 species of the genus Trichoderma in 29 states of Mexico. We found that species from the genus Trichoderma were reported in 20 agroecosystems and 6 ecosystems. T. harzianum was the predominant species in both agricultural and undisturbed soil. Tabasco and Veracruz were the states with the highest species diversity, with 20 and 14 species reported, respectively. Chiapas had the highest diversity indices (Menhinick had 3.20, Simpson had 0.89, and Margalef had 4.16). The coffee crop was the agroecosystem with the highest diversity, with 12 species reported. In the undisturbed ecosystems, tropical rainforests featured 12 different species. This study highlights the distribution of the genus Trichoderma as a cosmopolitan genus. We argue for the importance of the species that comprise the genus and its applications for social benefits. Full article

Vegetation connectivity is an essential aspect of the habitat complexity that impacts species interactions at local scales. However, agricultural intensification reduces connectivity in agroforestry systems, including coffee agroecosystems, which may hinder the movement of natural enemies and reduce the ecosystem services that they provide. Ants play an important role in regulating the coffee berry borer (CBB), which is the most damaging coffee pest. For arboreal ant communities, the connections between trees are important structures that facilitate ant mobility, resource recruitment, foraging success, and pest control ability. To better understand how connectivity impacts arboreal ants in coffee agroecosystems, we conducted an experiment to assess the impact of artificial (string) and naturally occurring vegetation (vines, leaves, branches) connectivity on Azteca sericeasur behavior on coffee plants. We compared ant activity, resource recruitment, and CBB removal rates across three connectivity treatments connecting coffee plants to A. sericeasur nest trees: vegetation connectivity, string, and control (not connected) treatments. We found higher rates of ant activity, resource recruitment, and CBB removal on plants with naturally occurring vegetation connections to A. sericeasur nest trees. Artificial connectivity (string) increased the rates of resource recruitment and CBB removal but to a lesser extent than vegetation connectivity. Moreover, vegetation connectivity buffered reductions in ant activity with distance from the ant nest tree. These results reinforce how habitat complexity in the form of vegetation connectivity impacts interspecific interactions at the local scale. Our results also suggest that leaving some degree of vegetation connectivity between coffee plants and shade trees can promote ant-mediated biological pest control in coffee systems. Full article